Title :
Time domain channel estimation schemes for OFDM systems with multiple antenna transmissions
Author :
Kinjo, Shigenori
Author_Institution :
Japan Coast Guard Acad., Kure, Japan
Abstract :
In this report, time domain channel estimation schemes for OFDM systems are studied. It is known that the time domain maximum likelihood estimation (MLE) scheme out-performs the conventional frequency domain channel estimation; however, the performance degradation becomes noticeable at low SNRs. Although we proposed a singular-value truncation approach for the MLE to improve the performance, we have been required more performance improvement in noisy environment. A minimum mean square error (MMSE) estimation is a promising technique to improve the performance in the low SNRs. However, we need considerable efforts to carry out the time domain MMSE channel estimation because it requires statistical information such as power delay profiles of MIMO channels in advance. Concerning this issue, we propose to construct the covariance matrix of the channels by using the estimated power delay profiles given by the MLE in every frames, and solve a normal equation by using the conjugate gradient method (CGM). Simulation results will show some packet error rate performances of an MIMO-OFDM system when we apply these channel estimation schemes.
Keywords :
MIMO communication; OFDM modulation; antennas; channel estimation; conjugate gradient methods; covariance matrices; maximum likelihood estimation; mean square error methods; time-domain analysis; MIMO channels; OFDM systems; conjugate gradient method; covariance matrix; minimum mean square error estimation; multiple antenna transmissions; power delay profiles; singular-value truncation approach; statistical information; time domain channel estimation scheme; time domain maximum likelihood estimation scheme; Channel estimation; Degradation; Delay estimation; Estimation error; Frequency domain analysis; Maximum likelihood estimation; Mean square error methods; OFDM; Transmitting antennas; Working environment noise;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2009. ISPACS 2009. International Symposium on
Conference_Location :
Kanazawa
Print_ISBN :
978-1-4244-5015-2
Electronic_ISBN :
978-1-4244-5016-9
DOI :
10.1109/ISPACS.2009.5383860